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curvefit_C_edition
- c语言版的多项式曲线拟合。 用最小二乘法进行曲线拟合. 用p－1 次多项式进行拟合，p<= 10 x,y 的第0个域x[0],y[0],没有用，有效数据从x[1],y[1] 开始 nNodeNum,有效数据节点的个数。 b,为输出的多项式系数，b[i] 为b[i-1]次项。b[0],没有用。 b,有10个元素ok。-c language version of the polynomial curve fitting. Using least-squares met
2x
- 利用最小二乘法进行曲线的拟合,这是用多项式拟合曲线的源码!-using the least-squares method of curve fitting, which is the polynomial curve fitting source!
polyfit
- 曲线拟合程序 多项式相关系数的计算方法(多项式形式1) 多项式相关系数的计算方法(多项式形式2) 最小二乘法曲线拟合 三次样条插值（自然边界条件）-polynomial curve fitting procedures correlation coefficient is calculated (the form of a polynomial) polynomial coefficient of correlation Methods (polynomial form 2
nmgenerate1
- 利用神经网络对多项式曲线进行预测，比较实用的一个小程序-using neural networks to predict polynomial curve, a relatively small practical procedures
curve_drawup
- 用最小二乘法来解决曲线拟合问题。程序具有可扩展性，即拟合点与多项式拟合曲线（的次数）都作为程序的输入。-using the method of least squares curve fitting to solve the problem. Procedures can be expanded, that is fitting point polynomial curve fitting with the (number of) procedures are as input.
plotfit2
- 多项式二次曲线拟合程序！用于实验设计！另有画图函数并且可以进行方差分析1-quadratic polynomial curve fitting procedures. For the experimental design! Another drawing functions can be carried out an analysis of variance
plotfit
- 多项式提取一个数组或是曲线的趋势项 得到一个多项式表达式 以及拟合的新数组-Extract an array of polynomial curve or a polynomial trend item to get a new array of expressions and fitting
multifit
- 功能：离散试验数据点的多项式曲线拟合 调用格式：A=multifit(x,y,m) 其中：x: 试验数据点的x坐标向量 Y: 试验数据点的y坐标向量 m: 拟合多项式的次数 -Functions: discrete experimental data points, the polynomial curve fitting call format: A = multifit (x, y, m) where: x: experimental data points, x
grm
- 多项式曲线拟合C++Templete实现-Polynomial curve fitting C++ Templete achieve
polyfitconvenient
- 利用 matlab的GUI 环境编写 多项式曲线拟合程序，及其界面，由于参数的输入是实时的、拟合过程可以实时显示，因而使用非常方便。-Using matlab GUI to prepare the environment polynomial curve fitting procedures, and its interface, as input parameters in real time, the fitting process can be real-time display, whi
PolyFit
- 任意阶的多项式曲线拟合方程，附三角maxtix分解-polynomial curve fitting, and triangularity decomposition(LU decmposition)
taylor
- Animation for 1. Polynomial fitting 2. First, second, and third order Taylor expansion of a curve - Animation for 1. Polynomial fitting 2. First, second, and third order Taylor expansion of a curve
polynomial
- Least-square curve fitting using polynomials is probably the most basic way to perform some parametric regression analysis. Foor basic tools for polynomial curve fitting are provided here. I also strongly recommend the exhaustive function POLYFITN
pp1
- 一个二次多项式曲线拟合算法，功能一般够用了，看明白算法原理应该就可以了-A quadratic polynomial curve fitting algorithm, function normally good enough, look to be able to understand the principle of the algorithm
calculation
- 典型数值计算方法。包括：经典四阶龙格库塔法、高斯列主元法、牛顿法、龙贝格、三次样条插值算法、M次多项式曲线拟合、二分法、不动点法、霍纳法、牛顿-拉弗森迭代等十项典型算法的算法流程及C源代码和例子。-Typical numerical calculation. Include: classical fourth order Runge-Kutta method, Gauss main-element method, Newton method, Romberg, cubic spline inte
Mtb011
- 多项式曲线拟合其中, x, y为已知数据点向量, 分别表示横,纵坐标, m为拟合多项式的次数, 结果返回m次拟合多项式系数, 从高次到低次存放在向量p中. -Polynomial curve fitting where, x, y as the vector of known data points, respectively, horizontal and vertical coordinates, m is the number of polynomial fitting, the re
Curve-fitting
- 曲线拟合，在众多的样本点中进行拟合，找出满足样本点分布的多项式-Curve fitting, in a large number of sample points were fitted to identify the distribution of sample points satisfy the polynomial
Polynomial-fitting-
- 时间序列的最小二乘多项式拟合，并且绘制观测数据离散点图和多项式曲线.-Least squares polynomial fitting of time series, and draw the observational data from the scatter plots and polynomial curve.
polynomial
- 进行多项式拟合曲线和参数，给出数据和m文件-Polynomial curve fitting and parameters, given the data and m files
Polynomial-non-polynomial
- 多项式和非多项式曲线拟合，MATLAB的经典案例 -Polynomial and non polynomial curve fitting